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- Tasks: Lead the delivery of AI solutions and drive technology adoption.
- Company: Leading tech solutions provider in Northern Ireland with a passionate team.
- Benefits: Opportunities for innovation, growth, and collaboration.
- Why this job: Make an impact in AI while working with advanced technologies.
- Qualifications: Experience in team management, strong Python skills, and deep learning knowledge.
- Other info: Join a dynamic environment focused on cutting-edge solutions.
The predicted salary is between 36000 - 60000 £ per year.
A leading tech solutions provider in Northern Ireland seeks a Data Scientist Manager to lead delivery of AI solutions. You will drive adoption of advanced technologies and engage with stakeholders on architectural strategy. The role demands experience in managing teams, strong Python skills, and familiarity with deep learning frameworks. This position offers opportunities for innovation and growth within a passionate team.
Ai Delivery Lead: Genai in Belfast employer: Kainos Group plc
Contact Detail:
Kainos Group plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ai Delivery Lead: Genai in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and deep learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience managing teams and driving AI solutions.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to innovate and grow with us. Your next big opportunity could be just a click away!
We think you need these skills to ace Ai Delivery Lead: Genai in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing teams and your strong Python skills. We want to see how your background aligns with the role of AI Delivery Lead, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI solutions and how you can drive adoption of advanced technologies. Let us know how you engage with stakeholders on architectural strategy.
Showcase Your Technical Skills: Since this role involves deep learning frameworks, make sure to mention any specific technologies or frameworks you’ve worked with. We love seeing candidates who are up-to-date with the latest trends in AI!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Kainos Group plc
✨Know Your AI Inside Out
Make sure you brush up on the latest trends in AI and deep learning frameworks. Be prepared to discuss how you've applied these technologies in past projects, as well as your vision for their future use in the role.
✨Showcase Your Leadership Skills
Since this position involves managing teams, be ready to share specific examples of how you've successfully led a team in the past. Highlight your approach to fostering collaboration and driving results, as this will resonate with the interviewers.
✨Engage with Stakeholders
Prepare to discuss how you’ve previously engaged with stakeholders on architectural strategy. Think of examples where you’ve effectively communicated complex technical concepts to non-technical audiences, as this is crucial for the role.
✨Demonstrate Your Python Proficiency
Expect technical questions that assess your Python skills. Brush up on your coding knowledge and be ready to solve problems on the spot. Practising common algorithms and data structures can give you an edge during the interview.
